Applicability of Paths Derived in Regional Planning Models to Traffic Micro-Simulation Paul Ricotta, P.E., Caliper Corporation Jon Fricker, PhD, Purdue.

Slides:



Advertisements
Similar presentations
Getting on the MOVES: Using Dynameq and the US EPA MOVES Model to Measure the Air Pollution Emissions TRPC – Smart Corridors Project Chris Breiland Fehr.
Advertisements

An Open-Source Data Hub for Improving the Effectiveness of Integrated Modeling Applications Brandon Nevers (KAI) Xuesong Zhou, Jeff Taylor (Univ. of Utah)
Capacity, Level of Service, Intersection Design (1)
Determining the Free-Flow Speeds in a Regional Travel Demand Model based on the Highway Capacity Manual Chao Wang Joseph Huegy Institute for Transportation.
Case Study 2 New York State Route 146 Corridor. This case study is about a Traffic Impact Assessment for a proposed site development in Clifton Park,
Project Prioritization - 1 Project Prioritization Using Paramics Microsimulation: A Case Study for the Alameda County Central Freeway Project Presented.
Byron Becnel LA DOTD June 16, Microscopic simulation models simulate the movement of individual vehicles on roads It is used to assess the traffic.
The TRANSIMS Model: Combining Travel Demand and Microsimulation Operating Paradigms Presented to 2012 ITE District 6 Annual Meeting by John Kerenyi, P.E.,
EMME User’s Conference Project Experience of a DYNAMEQ Simulation Model : TRPC – Smart Corridors Project October 4, 2010 Natarajan JANA Janarthanan PhD,
ARC’s Strategic Thoroughfare Plan Bridging the Gap from Travel Demand Model to Micro-Simulation GPA Conference Fall 2012 Presented By: David Pickworth,
Transportation leadership you can trust. FDOT Systems Planning White Paper A Recommended Approach to Delineating Traffic Analysis Zones in Florida.
Applying DynusT to the I-10 Corridor Study, Tucson, AZ ITE Western District Meeting Santa Barbara June 26th, 2012 Jim Schoen, PE, Kittelson & Assoc. Khang.
Intercity Person, Passenger Car and Truck Travel Patterns Daily Highway Volumes on State Highways and Interstates Ability to Evaluate Major Changes in.
CE 2710 Transportation Engineering
Chapter 5: Traffic Stream Characteristics
Archived Data User Services (ADUS). ITS Produce Data The (sensor) data are used for to help take transportation management actions –Traffic control systems.
N TELEGRAPH RD Vehicle Position vs. Signal Timing for the Intersection of Telegraph Road and Maple Road Position 1: Vehicle entering intersection 0.1 seconds.
Chapter 241 Chapter 25: Analysis of Arterial Performance Know how arterial LOS is defined Be able to determine arterial classes Know how to determine arterial.
Traffic Signal Warrants
TransCAD Network Settings 2017/4/17.
Planning Applications: A City- wide Microsimulation Model for Virginia Beach Craig Jordan, Old Dominion University Mecit Cetin, Old Dominion University.
Microsimulation for Rural and Exurban Regions: Lake County, California David Gerstle (presenting) & Zheng Wei Caliper Corporation.
An Experimental Procedure for Mid Block-Based Traffic Assignment on Sub-area with Detailed Road Network Tao Ye M.A.Sc Candidate University of Toronto MCRI.
Challenge 2: Spatial Aggregation Level Multi-tier Modeling in Ohio Attempts to Balance Run Time and Forecast Granularity Gregory Giaimo, PE The Ohio Department.
Can Multi-Resolution Dynamic Traffic Assignment live up to the Expectation of Reliable Analysis of Incident Management Strategies Lili (Leo) Luo, P.E.,
An Empirical Comparison of Microscopic and Mesoscopic Traffic Simulation Paradigms Ramachandran Balakrishna Daniel Morgan Qi Yang Caliper Corporation 14.
A Calibration Procedure for Microscopic Traffic Simulation Lianyu Chu, University of California, Irvine Henry Liu, Utah State University Jun-Seok Oh, Western.
Evaluating InSync Performance in Microsimulation Aleksandar Stevanovic, PhD, PE Florida Atlantic University Transpo 2012 Bonita Springs, FL October 29,
©2009 Proprietary and Confidential DTA in practice: Modeling dynamic networks in the real world Michael Mahut, Ph.D. INRO Montreal, Canada.
Considerations when applying Paramics to Strategic Traffic Models Paramics User Group Meeting October 9 th, 2009 Presented Matthew.
From EMME to DYNAMEQ in the city of MALMÖ. THE COMPANY Founded in early 2011 Currently located in Stockholm, Gothenburg and Malmö Small company (currently.
DVRPC TMIP Peer Review TIM 2 Model Oct. 29 th, 2014.
A Case Study in the Deployment of a Web-based Service as a Stakeholder Involvement Tool to Support the Development of a Travel Demand Model 14 th Annual.
How to Put “Best Practice” into Traffic Assignment Practice Ken Cervenka Federal Transit Administration TRB National Transportation.
Update on Developing Evacuation Model using Dynamic Traffic Assignment ChiPing Lam, Houston-Galveston Area Council Matthew Martimo, Citilabs.
NTERFACING THE MORPC REGIONAL MODEL WITH DYNAMIC TRAFFIC SIMULATION INTERFACING THE MORPC REGIONAL MODEL WITH DYNAMIC TRAFFIC SIMULATION David Roden (AECOM)
Comparing Dynamic Traffic Assignment Approaches for Planning
DKS Associates. 2 Corridor System Management Plan (CSMP) Travel Demand vs. Simulation Models Micro vs. Meso Simulation Models US-101 Corridor Modeling.
Integrated Macro-Micro Highway Demand/Operational Analysis Case Study: Cross Bronx Expressway Corridor, Bronx, NY Presented at the 15 th TRB Transportation.
SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY San Francisco DTA Model: Working Model Calibration Part 1: Process Greg Erhardt Dan Tischler Neema Nassir.
Chapter 5: Traffic Stream Characteristics
Dynamic Origin-Destination Trip Table Estimation for Transportation Planning Ramachandran Balakrishna Caliper Corporation 11 th TRB National Transportation.
Calibrating Model Speeds, Capacities, and Volume Delay Functions Using Local Data SE Florida FSUTMS Users Group Meeting February 6, 2009 Dean Lawrence.
Bharath Paladugu TRPC Clyde Scott Independent Consultant
A Dynamic Traffic Simulation Model on Planning Networks Qi Yang Caliper Corporation TRB Planning Application Conference Houston, May 20, 2009.
Traffic Signal Timing Design Part II. Slide 2 What to do?  Distribute volume among lanes to Identify lane utilization Determine need for lane adjustment.
11th TRB National Transportation Planning Applications Conference CORRADINO May 9, Validation of Speeds and Volumes in a Large Regional Model Southeast.
1 Geography and road network vulnerability Erik Jenelius Div. of Transport and Location Analysis Royal Institute of Technology (KTH), Stockholm.
2004 Transportation M etropolitan A tlanta P erformance Report – Congestion Measures Presentation to ITS Georgia August 29, 2005.
July 13, 2005ITE District 6 Annual Meeting Using Ground Truth Geospatial Data to Validate Advanced Traveler Information Systems Freeway Travel Time Messages.
Florida’s First Eco-Sustainable City. 80,000+ Residential Units 10 million s.f. Non-Residential 20 Schools International Clean Technology Center Multi-Modal.
SHRP2 Project C05: Final Report to TCC Understanding the Contribution of Operations, Technology, and Design to Meeting Highway Capacity Needs Wayne Kittelson.
Travel Demand Forecasting: Traffic Assignment CE331 Transportation Engineering.
September 2008What’s coming in Aimsun: New features and model developments 1 Hybrid Mesoscopic-Microscopic Traffic Simulation Framework Alex Torday, Jordi.
ITS Virginia Annual Conference April 20, 2012 Sensys Networks and the Sensys Networks logo are trademarks of Sensys Networks, Inc. Other product and company.
METRO Dynamic Traffic Assignment in Action COST Presentation ODOT Region 4 April 1,
Evaluation of Hard Shoulder vs
The I-465 West Leg Reconstruction Project
WSDOT’s Dynameq Projects
Mesoscopic Modeling Approach for Performance Based Planning
Arterial Loop+Racetrack No-Incident Model
Friday, December 16th.
Jim Henricksen, MnDOT Steve Ruegg, WSP
Using Ground Truth Geospatial Data to Validate Advanced Traveler Information Systems Freeway Travel Time Messages CTS Transportation Seminar Series, January.
FM 518 By-pass Traffic Review
One-way travel to two-way travel conversion.
30 miles in 1 hour 30 mph 30 miles per hour
A B A B C D C D A B A B C D C D A B A B C D C D A B A B C D C D
An object travels 40 miles in 2 hrs. Calculate its speed?
An Analytical Modeling Tool for Active Transportation Strategy Evaluation Presented by: Jinghua Xu, Ph.D., PE May 16, 2017.
Presentation transcript:

Applicability of Paths Derived in Regional Planning Models to Traffic Micro-Simulation Paul Ricotta, P.E., Caliper Corporation Jon Fricker, PhD, Purdue University Kent Anderson, CAMPO (Columbus, IN) Daniel Morgan, Caliper Corporation

Case & Approach 1.Generate simulation network from planning network 2.Add network detail, signals, and signal timings 3.Run planning model 4.Run 2-hour AM simulation (with trip table from step 3) 5.Generate, map, and tabulate congestion MOEs from planning model (step 3) 6.Generate, map, and tabulate congestion MOEs from simulation model (step 4) 7.Compare and contrast (between steps 5 & 6)

Case Overview – Geographic Scale 1 county (Bartholomew) and parts of two others (Johnson & Shelby) 8800 links, 6700 nodes, 85 TAZs 3,000 lane-miles 108 signalized intersections 22 miles E-W x 28 miles N-S Freeways, arterials, local streets, commercial, residential

Special Considerations – Centroid Connectors

Special Considerations – Paths (1)

Special Considerations – Paths (2)

Results Comparison – O-D Travel Time O-DTravel Time (TDM)Travel Time (Sim.) (I-65 NB) Length = 29.4 mi. Free Flow Time = 25.3 min (I-65 SB) Length = 29.4 mi. Free Flow Time = 25.2 min (SR46 EB) Length = 4.1 mi. Free Flow Time = 6.4 min (Central Ave SB) Length = 5.4 mi. Free Flow Time = 9.2 min

Results Comparison – Volume/Capacity Ratio LocationV/CVol. (veh) Time (min) Density (vpmpl) Flow (vph) Time (min) SR46/2 nd Street (5.6 mph) (41.3 mph) Indianapolis Rd (18.2 mph) (48.6 mph) Central Ave (31 mph) (2.2 mph)